It has been a long due thought experiment for me to analyze what Our world would look like if ‘Women rule the world?’, especially when Covid strategy of New Zealand appeared to be most successful which is govern by prime minister Jacinda Ardern - a female prime minister, not that I’m robbing credit of others who were involved in effective policy implementation, but this has intrigued me to fondle this question in deeper manner.

A proposition worth considering!

It is a fascinating thought experiment to consider what the world would be like if women were in charge. While it... read more

It has been a long due thought experiment for me to analyze what Our world would look like if ‘Women rule the world?’, especially when Covid strategy of New Zealand appeared to be most successful which is govern by prime minister Jacinda Ardern - a female prime minister, not that I’m robbing credit of others who were involved in effective policy implementation, but this has intrigued me to fondle this question in deeper manner.

A proposition worth considering!

It is a fascinating thought experiment to consider what the world would be like if women were in charge. While it... read more

Haruki Murakami’s Norwegian Wood intricately weaves the tales of characters who grapple with love, loss, and self-discovery. Among them, two contrasting pairs, Nagasawa and Toru, Midori and Naoko, offer nuanced insights into the intricate dynamics of relationships.

Nagasawa, a charismatic and pragmatic figure, epitomizes a hedonistic yet a stoic pursuit of pleasure. His detachment and pursuit of fleeting connections stand in stark contrast to Toru’s introspective and contemplative nature. Nagasawa’s character reflects a hedonistic philosophy, prioritizing immediate gratification over emotional depth. In contrast, Toru seeks meaning and connection in the complexities of human relationships. This dichotomy serves as a lens... read more

Recently I was reading an article about a cool project that intends to have a neural network create songs of the late club of the 27 (artists that have tragically died at age 27 or near, and in the height of their respective careers), artists such as Amy Winehouse, Jimmy Hendrix, Curt Cobain and Jim Morrison.

The project was created by Over the Bridge, an organization dedicated to increase awareness on mental health and substance abuse in the music industry, trying to... read more

The omnipresence of technology nowadays has made it commonplace to read news about AI, just a quick glance at today’s headlines, and I get:

• This Powerful AI Technique Led to Clashes at Google and Fierce Debate in Tech.
• How A.I.-powered companies dodged the worst damage from COVID
• AI technology detects ‘ticking time bomb’ arteries
• AI in Drug Discovery Starts to Live Up to the Hype
• Pentagon seeks commercial solutions to get its data ready for AI

Topics from business, manufacturing, supply chain, medicine and biotech and even defense are covered in those news... read more

April 10,2019 is a one of the most important date in the research field of astronomy and astrophysics and cosmology, the reason is humans for the first time captured an object which breaks all the rules and barriers of physics that we have understood till now, if it’s not obvious let me clarify, we’re talking about first image of Black Hole.

The first-ever image of a black hole captured the attention of the world in April 2019, and the black hole at the center of the Messier 87 galaxy was named “Powehi” in Hawaiian. “Powehi” means “the adorned fathomless dark... read more

April 10,2019 is a one of the most important date in the research field of astronomy and astrophysics and cosmology, the reason is humans for the first time captured an object which breaks all the rules and barriers of physics that we have understood till now, if it’s not obvious let me clarify, we’re talking about first image of Black Hole.

The first-ever image of a black hole captured the attention of the world in April 2019, and the black hole at the center of the Messier 87 galaxy was named “Powehi” in Hawaiian. “Powehi” means “the adorned fathomless dark... read more

Imagine two people trying to catch a train. One lives a few minutes away from the station, and the other lives much farther. If both happen to miss the train, the person who lives nearby might think, “No big deal, I’ll just wait for the next one,” and sit at the station for 20 minutes. Meanwhile, the person who lives farther away might realize they can’t afford to wait and instead take immediate action—calling a cab, taking another route, or finding an alternative.

Strangely enough, the person who had the greater inconvenience—the one living farther from the station—ends up reaching... read more

Haruki Murakami’s Norwegian Wood intricately weaves the tales of characters who grapple with love, loss, and self-discovery. Among them, two contrasting pairs, Nagasawa and Toru, Midori and Naoko, offer nuanced insights into the intricate dynamics of relationships.

Nagasawa, a charismatic and pragmatic figure, epitomizes a hedonistic yet a stoic pursuit of pleasure. His detachment and pursuit of fleeting connections stand in stark contrast to Toru’s introspective and contemplative nature. Nagasawa’s character reflects a hedonistic philosophy, prioritizing immediate gratification over emotional depth. In contrast, Toru seeks meaning and connection in the complexities of human relationships. This dichotomy serves as a lens... read more

For the seemingly small project I undertook of creating a machine learning neural network that could learn by itself to play tic-tac-toe, I bumped into the necesity of implementing at least one momentum algorithm for the optimization of the network during backpropagation.

And since my original post for the TicTacToe project is quite large already, I decided to post separately these optimization methods and how did I implement them in my code.

Adam

source

Adaptive Moment Estimation (Adam) is an optimization method that computes adaptive learning rates for each weight and bias. In addition to storing an... read more

It must sound crazy that in this day and age, when we have such a myriad of amazing machine learning libraries and toolkits all open sourced, all quite well documented and easy to use, I decided to create my own ML library from scratch.

I want to deeply understand the basic concepts and its foundations, and I think that there is no better way to do so than by creating myself all the code for a basic neural network library from scratch. This way I can re-iterate my knowledge about math that underpins the ML algorithms.

Recently I was reading an article about a cool project that intends to have a neural network create songs of the late club of the 27 (artists that have tragically died at age 27 or near, and in the height of their respective careers), artists such as Amy Winehouse, Jimmy Hendrix, Curt Cobain and Jim Morrison.

The project was created by Over the Bridge, an organization dedicated to increase awareness on mental health and substance abuse in the music industry, trying to... read more

April 10,2019 is a one of the most important date in the research field of astronomy and astrophysics and cosmology, the reason is humans for the first time captured an object which breaks all the rules and barriers of physics that we have understood till now, if it’s not obvious let me clarify, we’re talking about first image of Black Hole.

The first-ever image of a black hole captured the attention of the world in April 2019, and the black hole at the center of the Messier 87 galaxy was named “Powehi” in Hawaiian. “Powehi” means “the adorned fathomless dark... read more

Recently I was reading an article about a cool project that intends to have a neural network create songs of the late club of the 27 (artists that have tragically died at age 27 or near, and in the height of their respective careers), artists such as Amy Winehouse, Jimmy Hendrix, Curt Cobain and Jim Morrison.

The project was created by Over the Bridge, an organization dedicated to increase awareness on mental health and substance abuse in the music industry, trying to... read more

For the seemingly small project I undertook of creating a machine learning neural network that could learn by itself to play tic-tac-toe, I bumped into the necesity of implementing at least one momentum algorithm for the optimization of the network during backpropagation.

And since my original post for the TicTacToe project is quite large already, I decided to post separately these optimization methods and how did I implement them in my code.

Adam

source

Adaptive Moment Estimation (Adam) is an optimization method that computes adaptive learning rates for each weight and bias. In addition to storing an... read more

April 10,2019 is a one of the most important date in the research field of astronomy and astrophysics and cosmology, the reason is humans for the first time captured an object which breaks all the rules and barriers of physics that we have understood till now, if it’s not obvious let me clarify, we’re talking about first image of Black Hole.

The first-ever image of a black hole captured the attention of the world in April 2019, and the black hole at the center of the Messier 87 galaxy was named “Powehi” in Hawaiian. “Powehi” means “the adorned fathomless dark... read more

Haruki Murakami’s Norwegian Wood intricately weaves the tales of characters who grapple with love, loss, and self-discovery. Among them, two contrasting pairs, Nagasawa and Toru, Midori and Naoko, offer nuanced insights into the intricate dynamics of relationships.

Nagasawa, a charismatic and pragmatic figure, epitomizes a hedonistic yet a stoic pursuit of pleasure. His detachment and pursuit of fleeting connections stand in stark contrast to Toru’s introspective and contemplative nature. Nagasawa’s character reflects a hedonistic philosophy, prioritizing immediate gratification over emotional depth. In contrast, Toru seeks meaning and connection in the complexities of human relationships. This dichotomy serves as a lens... read more

Recently I was reading an article about a cool project that intends to have a neural network create songs of the late club of the 27 (artists that have tragically died at age 27 or near, and in the height of their respective careers), artists such as Amy Winehouse, Jimmy Hendrix, Curt Cobain and Jim Morrison.

The project was created by Over the Bridge, an organization dedicated to increase awareness on mental health and substance abuse in the music industry, trying to... read more

The omnipresence of technology nowadays has made it commonplace to read news about AI, just a quick glance at today’s headlines, and I get:

• This Powerful AI Technique Led to Clashes at Google and Fierce Debate in Tech.
• How A.I.-powered companies dodged the worst damage from COVID
• AI technology detects ‘ticking time bomb’ arteries
• AI in Drug Discovery Starts to Live Up to the Hype
• Pentagon seeks commercial solutions to get its data ready for AI

Topics from business, manufacturing, supply chain, medicine and biotech and even defense are covered in those news... read more

For the seemingly small project I undertook of creating a machine learning neural network that could learn by itself to play tic-tac-toe, I bumped into the necesity of implementing at least one momentum algorithm for the optimization of the network during backpropagation.

And since my original post for the TicTacToe project is quite large already, I decided to post separately these optimization methods and how did I implement them in my code.

Adam

source

Adaptive Moment Estimation (Adam) is an optimization method that computes adaptive learning rates for each weight and bias. In addition to storing an... read more

Recently I was reading an article about a cool project that intends to have a neural network create songs of the late club of the 27 (artists that have tragically died at age 27 or near, and in the height of their respective careers), artists such as Amy Winehouse, Jimmy Hendrix, Curt Cobain and Jim Morrison.

The project was created by Over the Bridge, an organization dedicated to increase awareness on mental health and substance abuse in the music industry, trying to... read more

The omnipresence of technology nowadays has made it commonplace to read news about AI, just a quick glance at today’s headlines, and I get:

• This Powerful AI Technique Led to Clashes at Google and Fierce Debate in Tech.
• How A.I.-powered companies dodged the worst damage from COVID
• AI technology detects ‘ticking time bomb’ arteries
• AI in Drug Discovery Starts to Live Up to the Hype
• Pentagon seeks commercial solutions to get its data ready for AI

Topics from business, manufacturing, supply chain, medicine and biotech and even defense are covered in those news... read more

It must sound crazy that in this day and age, when we have such a myriad of amazing machine learning libraries and toolkits all open sourced, all quite well documented and easy to use, I decided to create my own ML library from scratch.

I want to deeply understand the basic concepts and its foundations, and I think that there is no better way to do so than by creating myself all the code for a basic neural network library from scratch. This way I can re-iterate my knowledge about math that underpins the ML algorithms.

For the seemingly small project I undertook of creating a machine learning neural network that could learn by itself to play tic-tac-toe, I bumped into the necesity of implementing at least one momentum algorithm for the optimization of the network during backpropagation.

And since my original post for the TicTacToe project is quite large already, I decided to post separately these optimization methods and how did I implement them in my code.

Adam

source

Adaptive Moment Estimation (Adam) is an optimization method that computes adaptive learning rates for each weight and bias. In addition to storing an... read more

Imagine two people trying to catch a train. One lives a few minutes away from the station, and the other lives much farther. If both happen to miss the train, the person who lives nearby might think, “No big deal, I’ll just wait for the next one,” and sit at the station for 20 minutes. Meanwhile, the person who lives farther away might realize they can’t afford to wait and instead take immediate action—calling a cab, taking another route, or finding an alternative.

Strangely enough, the person who had the greater inconvenience—the one living farther from the station—ends up reaching... read more

Haruki Murakami’s Norwegian Wood intricately weaves the tales of characters who grapple with love, loss, and self-discovery. Among them, two contrasting pairs, Nagasawa and Toru, Midori and Naoko, offer nuanced insights into the intricate dynamics of relationships.

Nagasawa, a charismatic and pragmatic figure, epitomizes a hedonistic yet a stoic pursuit of pleasure. His detachment and pursuit of fleeting connections stand in stark contrast to Toru’s introspective and contemplative nature. Nagasawa’s character reflects a hedonistic philosophy, prioritizing immediate gratification over emotional depth. In contrast, Toru seeks meaning and connection in the complexities of human relationships. This dichotomy serves as a lens... read more

Imagine two people trying to catch a train. One lives a few minutes away from the station, and the other lives much farther. If both happen to miss the train, the person who lives nearby might think, “No big deal, I’ll just wait for the next one,” and sit at the station for 20 minutes. Meanwhile, the person who lives farther away might realize they can’t afford to wait and instead take immediate action—calling a cab, taking another route, or finding an alternative.

Strangely enough, the person who had the greater inconvenience—the one living farther from the station—ends up reaching... read more

It must sound crazy that in this day and age, when we have such a myriad of amazing machine learning libraries and toolkits all open sourced, all quite well documented and easy to use, I decided to create my own ML library from scratch.

I want to deeply understand the basic concepts and its foundations, and I think that there is no better way to do so than by creating myself all the code for a basic neural network library from scratch. This way I can re-iterate my knowledge about math that underpins the ML algorithms.